Director of Engineering — AI Native Platforms (IT / OT / Cybersecurity)

Director of Engineering — AI Native Platforms (IT / OT / Cybersecurity) Austin, TX

• Hybrid (2 days a week in office) Context & Impact Lansweeper is expanding its engineering leadership with a newly created Director of Engineering role focused on AI-native platform development across IT, OT, and Cybersecurity domains. As Director of Engineering, you will lead high-performing engineering organizations building advanced software platforms, intelligent systems, and scalable infrastructure that combine modern distributed systems engineering with foundational AI and machine learning technologies. You will play a critical leadership role in driving engineering execution, operational excellence, innovation, and organizational growth — while fostering a strong culture of ownership, accountability, technical excellence, and AI-native ways of working. This is a full-time, hybrid role based in Austin, Texas with 2 days onsite per week . Challenge Scaling a growing org fast — growing from 3 direct reports plus a distributed Montreal team to ~20 people within 12 months, building engineering processes, culture, and hiring pipeline in parallel with delivery. Staying technical while scaling leadership — this role requires hands-on fluency in C++, Go, or Rust and production-level understanding of LLM/ML technologies, not just organizational oversight of teams that use them. Driving AI-native adoption at scale, not just personally — championing AI-assisted engineering workflows across the org is a hard requirement here, meaning success depends on changing how other engineers work, not just how you work yourself. AI Fluency At Lansweeper, we are building an AI-native engineering culture. We expect all engineers to actively use AI tools (such as Claude) in their day-to-day work to improve efficiency and output quality across the software development lifecycle, including coding, testing, documentation, and system design.

Key Responsibilities

Lead and scale engineering organizations focused on AI-native infrastructure and cybersecurity platforms Drive execution and delivery of highly scalable, reliable, and performant software systems across IT, OT, networking, and cybersecurity domains Establish engineering processes that promote speed, quality, ownership, and accountability Partner with executive leadership to define technical and organizational strategy Foster a culture of innovation, continuous improvement, and AI-native software delivery Drive adoption of AI-assisted engineering practices and AI-native development methodologies across engineering teams Mentor engineering leaders and senior technical talent to grow organizational capability Key Requirements Hard Skills 12+ years of software engineering experience, including leadership of engineering organizations Proven track record leading engineering teams building infrastructure, platform, or cybersecurity products Strong understanding of distributed systems and scalable backend architectures Technical background in C++, Go, or Rust Strong understanding of foundational LLM and Machine Learning technologies and their application in production environments Experience operating in high-growth and fast-paced engineering environments Preferred / Nice to Have Experience with network technologies, infrastructure intelligence, or visibility systems Understanding of enterprise IT and OT ecosystems Experience with cybersecurity analysis systems, SIEM, EDR, or threat intelligence platforms Experience driving adoption of AI-assisted software development workflows and modern coding agents Familiarity with modern AI engineering tooling such as Claude Code Soft Skills Strong execution focus with a track record of delivery predictability and operational excellence Systems-thinking mindset with pragmatic, high-impact decision-making Strong ownership mentality with clear accountability for engineering outcomes Passion for engineering transformation, innovation, and people development Collaborative leadership style with a genuine commitment to mentorship and team growth AI Specific Skills Lansweeper is an AI-native company currently undergoing a company-wide AI transformation across all departments and engineering functions.

As Director of Engineering, you are expected to actively champion and embed AI-assisted development tools and LLM-based workflows across the engineering organization — not just use them personally but drive their adoption at scale. Leading with an AI-native mindset and enabling your engineering teams to work in AI-native ways is a hard requirement for this role, not a nice-to-have.

Team Info Team Size: ~20 people within 12 months (currently 3 directs + Montreal team + potential US team) Our Offer Competitive compensation aligned with industry benchmarks Benefits:

• Time off — 20 vacation days + 3 sick days + 6 personal days + 12 public holidays.
• Health & protection — Medical, dental, vision, life, and disability insurance, plus EAP mental health support.
• Pension — 401(k) with 4% employer match.
• Work setup — Hybrid working with full telework equipment and a monthly internet allowance.
• Opportunity to lead within an AI-forward sales organization.
• Career growth and learning opportunities within a fast-scaling SaaS company.
• Hybrid working model: in our Austin, Texas office.
• Engaging company culture with team events and international collaboration. Career growth and learning opportunities within a fast-scaling SaaS company Company events and international collaboration The Team About Lansweeper Lansweeper is the AI Cyber Asset Intelligence platform helping IT and Security teams gain full visibility, reduce cyber risk, and scale automation with confidence. In today's complex IT, OT, cloud, and IoT environments, fragmented asset data slows decisions and increases risk. We transform raw asset data into a continuously validated, trusted source of truth — so teams can move faster and act with certainty. With Lansweeper, organizations can: See – Truly complete visibility across hybrid environments Know – Enriched asset intelligence with lifecycle and risk context Act – Automate workflows, coordinate remediation, and enforce policy at scale From universal asset discovery to AI-powered intelligence, we provide the shared foundation modern IT Operations, Cybersecurity, and Digital Transformation teams rely on. Our Culture We're built on four core values: One Team – United across boundaries We Care – Customers and people at the center We Grow – Learning, sharing, improving We Deliver – Focusing on what truly matters AI Usage During Hiring Process We use AI to support and not replace during the hiring process. HR decisions are made by our talent acquisition team. You can request more info at any time via hr@lansweeper.com Diversity Statement It is Lansweeper's policy to provide equal employment opportunity to all applicants and employees. Lansweeper disapproves of, and will not tolerate, unlawful discrimination against any applicant or employee because of race, color, national origin or ancestry, gender (including pregnancy, childbirth, or related medical conditions), gender identity, age, religion, disability, family care status, veteran status, marital status, sexual orientation, or any other basis protected by local, state, or federal laws. Call to Action Ready to join us? Click Apply now or share this role with someone in your network.